The R Markdown parts of the R4DS textbook are Chapters 27 and 29.
For a deeper dive into R Markdown, the official R Markdown text is R Markdown: The Definitive Guide. It is most useful to have as a reference.
Another great reference text for R Markdown that contains examples of many R Markdown features is R Markdown Cookbook.
I also recommend checking out RStudio website for R Markdown. The Getting Started and Gallery pages gives a visual overview of many of the things you can build with R Markdown.
Recreate a report: Download the R Markdown document and image above and store them in your R Project folder. Use the downloaded document as a starting point and modify it so that it ends up looking like this final report. Here are some tips:
* The report purposefully contains a few errors that prevent the document from knitting. You should start by fixing these first.
* There are ~15 other modifications you'll need to make. Aside from loading packages and reading in data, you should not need to make substantial edits to the existing source code within the chunks. You also should not need to delete existing code chunks. There are a couple features which you may have to look up how to do using outside resources:
1. Add appropriate headers
2. A floating table of contents
3. Use links
4. Add footnotes
5. Add a centered image with 80% width
6. Use inline code
7. Make table output interactive
8. Add white space between all sections
9. Create tabsets (*hint*: see [this resource](https://bookdown.org/yihui/rmarkdown-cookbook/){target="_blank"})
10. Turn one of the ggplots into an interactive plot
11. Allow code to be toggled between shown and hidden
12. Use code chunk options to control whether code and/or output can be shown
13. Suppress all warnings and messages
14. Adding the `flatly` theme to your report
15. **Attempt something new**: An important part of learning R is teaching yourself how to do something that you haven't explicitly been taught. At the end of the cloudbuddy report is an empty code chunk. Within this code chunk, do something new with the cloudbuddy data that you haven't tried in previous sessions or exercises. For example, this can be creating a new table using a dplyr function, attempting to customize a ggplot in a new way. Attempts that end in failure are okay, and exploring a new function or package is encouraged!
* Save your modified report as `session-04-cloudbuddy.Rmd`.
* Here is an [annotated version](https://melodic-kashata-42b883.netlify.app/annotated.jpg){target="_blank"} of the final report to help you spot some of the differences.